Synthetic biology allows us to bioengineer cells to synthesize novel valuable molecules such as renewable biofuels or anticancer drugs. However, traditional synthetic biology approaches involve ad-hoc engineering practices, which lead to long development times. Now, researchers at the Department of Energy’s Lawrence Berkeley National Laboratory have created a new tool that adapts machine learning algorithms to the needs of synthetic biology, dramatically reducing the time spent engineering drugs and chemicals.… Login to continue

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